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Emotion Based Music Player


Ms. P. V. Shitole , AISSMS Polytechnic; Omkar Kawade, AISSMS Polytechnic; Akshay Athavale, AISSMS Polytechnic; Prathmesh Kamble, AISSMS Polytechnic; Hemant Chavan, AISSMS Polytechnic


Music Player


As the music has the high impact on the human brain activity the recent studies has proved that human respond and react to music and has high impact on human body. The average human being listens to music that they love for four hours in a day based on their mood and interest. This project helps the user to suggest songs based on their mood and capturing their facial expression. Non- verbal is a form of facial expression. This field is an interdisciplinary computer vision that has a high level of understanding of videos, digital images. The computer vision components in this system helps to determine the emotions of the user through facial expression. When the user’s emotion is recognized, it provides the playlist to the user, this reduces the time to search of playlist to the user manually. It also keep the track of user details like name, number. When the user suggest the need about the intrest level and recognized the playlist every time. The songs which are never played by the user are automatically deleted and modified as the user intrest.

Other Details

Paper ID: IJSRDV8I10550
Published in: Volume : 8, Issue : 1
Publication Date: 01/04/2020
Page(s): 959-962

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